TY - GEN
T1 - Impact of personality on the recognition of emotion expressed via human, virtual, and robotic embodiments
AU - Chevalier, Pauline
AU - Martin, Jean Claude
AU - Isableu, Brice
AU - Tapus, Adriana
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/11/20
Y1 - 2015/11/20
N2 - In this paper, we describe the elaboration and the validation of a body and face database1, of 96 videos of 1 to 2 seconds of duration, expressing 4 emotions (i.e., anger, happiness, fear, and sadness) elicited through 4 platforms of increased visual complexity and level of embodiment. The final aim of this database is to develop an individualized training program designed for individuals suffering of autism in order to help them recognize various emotions on different test platforms: two robots, a virtual agent, and a human. Before assessing the recognition capabilities of individuals with ASD, we validated our video database on typically developed individuals (TD). Moreover, we also looked at the relationship between the recognition rate and their personality traits (extroverted (EX) vs. introverted (IN)). We found that the personality of our TD participants did not lead to a different recognition behavior. However, introverted individuals better recognized emotions from less visually complex characters than extroverted individuals.
AB - In this paper, we describe the elaboration and the validation of a body and face database1, of 96 videos of 1 to 2 seconds of duration, expressing 4 emotions (i.e., anger, happiness, fear, and sadness) elicited through 4 platforms of increased visual complexity and level of embodiment. The final aim of this database is to develop an individualized training program designed for individuals suffering of autism in order to help them recognize various emotions on different test platforms: two robots, a virtual agent, and a human. Before assessing the recognition capabilities of individuals with ASD, we validated our video database on typically developed individuals (TD). Moreover, we also looked at the relationship between the recognition rate and their personality traits (extroverted (EX) vs. introverted (IN)). We found that the personality of our TD participants did not lead to a different recognition behavior. However, introverted individuals better recognized emotions from less visually complex characters than extroverted individuals.
U2 - 10.1109/ROMAN.2015.7333686
DO - 10.1109/ROMAN.2015.7333686
M3 - Conference contribution
AN - SCOPUS:84954039586
T3 - Proceedings - IEEE International Workshop on Robot and Human Interactive Communication
SP - 229
EP - 234
BT - RO-MAN 2015 - 24th IEEE International Symposium on Robot and Human Interactive Communication, Symposium Digest
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2015
Y2 - 31 August 2015 through 4 September 2015
ER -